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Sentinel-1 and COSMO-SkyMed image comparison on alpine environment for snow feature investigation

Conference Paper
Publication Date:
2016
abstract:
In this work, X and C band images acquired by COSMO-SkyMed (CSK) and Sentinel-1 (S1), respectively, on alpine environment have been compared for investigating snow characteristics. The specific capabilities of each sensor, involving also optical sensors (i. e., Landsat and Sentinel-2 satellites), have been exploited. Dense Media Radiative Transfer theory, with quasi-crystalline approximation (DMRT-QCA) was also considered, in order to simulate the snow feature behavior at X-band. Preliminary results show that the assimilation of different sensors returns more detailed information about the snow parameters in terms of spatial detail and physical parameter description.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
COSMO-SkyMed; Cryosphere; Sentinel-1; Snow Depth; Snow features
List of contributors:
Santi, Emanuele; Pettinato, Simone; Paloscia, Simonetta; Palchetti, Enrico
Authors of the University:
PALCHETTI ENRICO
PALOSCIA SIMONETTA
PETTINATO SIMONE
SANTI EMANUELE
Handle:
https://iris.cnr.it/handle/20.500.14243/333320
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http://www.scopus.com/record/display.url?eid=2-s2.0-85007451787&origin=inward
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